__e5m2x22float2

Applicability

Product	Supported
Atlas 350 Accelerator Card	√
Atlas A3 training product/Atlas A3 inference product	x
Atlas A2 training product/Atlas A2 inference product	x
Atlas 200I/500 A2 inference product	x
Atlas inference product AI Core	x
Atlas inference product Vector Core	x
Atlas training product	x

Function Usage

Converts the two components of float8_e5m2x2_t data to floating-point data, with the result returned as the float2 type.

Prototype

inline float2 __e5m2x22float2(const float8_e5m2x2_t x)

Parameters

**Table 1** Parameters
Parameter	Input/Output	Description
x	Input	Source operand.

Returns

float2 data converted from the float8_e5m2x2_t input

Restrictions

For SIMT programming, this API is not supported.

Header Files to Be Included

To use this API, the simt_api/asc_fp8.h header file must be included.

#include "simt_api/asc_fp8.h"

Examples

For SIMD and SIMT programming:

// Use small vectors to improve data movement efficiency.
__simt_vf__ __launch_bounds__(1024) inline void simt_e5m2x22float2(__gm__ float8_e5m2x2_t* input, __gm__ float2* output, uint32_t input_total_length)
{
    uint32_t idx = blockIdx.x * blockDim.x + threadIdx.x;
    // Each thread processes one piece of float8_e5m2x2_t data, that is, two pieces of fp8_e5m2_t data. Therefore, threads with idx greater than or equal to input_total_length/2 do not process data.
    if (idx > input_total_length /2) {
        return;
    }
    output[idx] = __e5m2x22float2(input[idx]);
}
__global__ __vector__ void cast_kernel(__gm__ uint8_t* input,  __gm__ float* output, uint32_t input_total_length)
{
    asc_vf_call<simt_e5m2x22float2>(dim3(1024), (__gm__ float8_e5m2x2_t*)input, (__gm__ float2*)output, input_total_length);
}

Parent topic: Type Conversion